iPhone 12 Mini
Geekbench ML Score
851
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
605
64.8 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.6 IPS |
|
|
Image Classification (I8)
|
81% |
413
44.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
940
5.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
893
5.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
1354
8.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
326
1.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
336
1.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
416
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
843
29.6 IPS |
|
|
Object Detection (F16)
|
100% |
849
29.8 IPS |
|
|
Object Detection (I8)
|
52% |
722
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1018
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
986
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
803
9.23 IPS |
|
|
Text Classification (F32)
|
100% |
2325
919.6 IPS |
|
|
Text Classification (F16)
|
100% |
2322
918.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1673
257.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1668
257.1 IPS |
